Production-induced pressure-depletion and stress anisotropy changes near hydraulically fractured wells: Implications for intra-well fracture interference and fracturing treatment efficacy

Wang, Jihoon; Weijermars, Ruud

doi:10.1016/j.geoen.2023.211450

“…More fracturing stages will produce more complex fracture network, which makes the induced stress disturbance increase obviously (Guo et al, 2023). As the number of stages increases, the area of stress reversal also expands (Wang and Weijermars, 2023). The pressure dissipation during the production process reduces the principal stress near the well system, resulting in a decrease in stress anisotropy, which leads to more fractures in the nearby new well fan out (rather than maintaining a subparallel line), because when the stress anisotropy is weak or non-existent, the stress shadow between adjacent propagating fractures will increase the fracture branching (Wang and Weijermars, 2023).…”

Section: Introductionmentioning

confidence: 99%

Frac-hits and connections of multi-well hydrofracturing fracture network involving the variable factors: well spacing, perforation cluster spacing and injection rate

Wang,

Li,

Liu

2024

EC

1

0

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PurposeWith the development of fracturing technology, the research of multi-well hydrofracturing becomes the key issue. Frac-hits in multi-well hydrofracturing has an important effect on fracture propagation and final production of fractured well; in the process of hydrofracturing, there are many implement parameters that can affect frac-hits, and previous studies in this area have not systematically targeted the influence of a single parameter on multi-well hydrofracturing. Therefore, it is of great significance to study the occurrence rule and influence of frac-hits for optimizing the design of fracturing wells.Design/methodology/approachBased on the proposed numerical models, the effects of different fracturing implement parameters (perforation cluster spacing, well spacing and injection rate) on frac-hits are compared in numerical cases. Through the analysis of fracture network, stress field and microseismic, the effects of different fracturing implement parameters on frac-hits and connections are compared.FindingsThe simulation results show that the effect of perforation cluster spacing and well spacing on frac-hits is greater than that of injection rate. Smaller well spacing makes it easier for fractures between adjacent wells to interact with each other, which increases the risk of frac-hits and reduces the risk of fracture connections. Smaller perforation cluster spacing results in larger individual fracture lengths and greater deflection angles, which makes the possibility of frac-hits and connections greater. The lower the injection rate, the lower the probability of frac-hits.Originality/valueIn this study, the influence of different fracturing implement parameters on frac-hits and connections in multi-well hydrofracturing is studied, and the mechanism of frac-hits and connections is analyzed through fracture network, stress field and microseismic analysis. Different simulation results are compared to optimize fracturing well parameter design and provide reference for engineering application.

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“…Finally, a novel approach has been done for estimating pore size distribution and capillary pressure in the hydrocarbon zone through a hydraulic flow unit framework using an NMR log. The workflow establishes a robust and cost-effective methodology for NMR T2 distribution correction in hydrocarbon zone for uncored and partially cored wells (Baykin et al, 2023;Fernandes et al, 2023a;Fernandes et al, 2023b;Jehanzaib et al, 2023;Kadkhodaie, 2021;Kianoush, 2023;Lai et al, 2023;Osinowo et al, 2023;Wang and Weijermars, 2023;Zhang et al, 2023b).…”

Section: Introductionmentioning

confidence: 99%

Determining the petrophysical rock types utilizing the Fuzzy C-means Clustering technique and the concept of hydraulic flow units

Eftekhari,

Memariani,

Maleki

et al. 2023

Preprint

0

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Rock types are the reservoir's most essential properties and show special facies with a defined range of porosity and permeability. This study used the fuzzy c-means clustering technique to identify rock types in 280 core samples from one of the wells drilled in the Asmari reservoir in the Mansouri field, SW Iran. Four hydraulic flow units were determined for studied data after classifying the flow zone index with histogram analysis, normal probability analysis, and the sum of square error methods. Then the two methods of flow zone index and fuzzy c-means clustering were used to determine the rock types in given wells according to the results obtained from the implementation of these two methods in-depth, and continuity index acts, the fuzzy c-means methods with continuity number 3.12 compared to flow zone index with continuity number 2.77 shows more continuity in depth. The relationship between porosity and permeability improved using hydraulic flow unit techniques significantly. In this study, the correlation coefficient between porosity and permeability improves and increases in each hydraulic flow unit using the flow zone index method. So that in the general case, all samples increased from 0.55 to 0.81 in the first hydraulic flow unit and finally 0.94 in the fourth hydraulic flow unit. The samples were characterized by similar flow properties in a hydraulic flow unit. In comparison, the correlation coefficient is obtained less than the general case in the fuzzy c-means method in all hydraulic flow units.

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“…Hydraulic flow units (HFUs) is referred to as lateral continuity of reservoir units with consistent geological properties controlling the behavior of fluid flow in pores media (Amaefule et al, 1993;Gualda and Vlach, 2007; Finally, a novel approach has been done for estimating pore size distribution and capillary pressure in the hydrocarbon zone through a hydraulic flow unit framework using an NMR log. The workflow establishes a robust and cost-effective methodology for NMR T2 distribution correction in hydrocarbon zone for uncored and partially cored wells (Baykin et al, 2023;Fernandes et al, 2023a;Fernandes et al, 2023b;Jehanzaib et al, 2023;Kadkhodaie, 2021;Kianoush, 2023;Lai et al, 2023;Osinowo et al, 2023;Wang and Weijermars, 2023;Zhang et al, 2023b) (Abraham-A et al, 2023Duda et al, 2012;Yu et al, 2023;Zhang et al, 2023a;Zhang et al, 2023b;Zheng et al, 2023). The fuzzy c-means (FCM) method is an efficient tool for solving fuzzy clustering problems.…”

Section: Introductionmentioning

confidence: 99%

Determining the petrophysical rock types utilizing the Fuzzy C-means Clustering technique and the concept of hydraulic flow units in the Asmari Formation, SW Iran

Eftekhari,

Memariani,

Maleki

et al. 2023

Preprint

0

View full text Add to dashboard Cite

Rock types are the reservoir's most essential properties and show special facies with a defined range of porosity and permeability. This study used the fuzzy c-means clustering technique to identify rock types in 280 core samples from one of the wells drilled in the Asmari reservoir in the Mansouri field, SW Iran. Four hydraulic flow units were determined for studied data after classifying the flow zone index with histogram analysis, normal probability analysis, and the sum of square error methods. Then the two methods of flow zone index and fuzzy c-means clustering were used to determine the rock types in given wells according to the results obtained from the implementation of these two methods in-depth, and continuity index acts, the fuzzy c-means methods with continuity number 3.12 compared to flow zone index with continuity number 2.77 shows more continuity in depth. The relationship between porosity and permeability improved using hydraulic flow unit techniques significantly. In this study, the correlation coefficient between porosity and permeability improves and increases in each hydraulic flow unit using the flow zone index method. So that in the general case, all samples increased from 0.55 to 0.81 in the first hydraulic flow unit and finally 0.94 in the fourth hydraulic flow unit. The samples were characterized by similar flow properties in a hydraulic flow unit. In comparison, the correlation coefficient is obtained less than the general case in the fuzzy c-means method in all hydraulic flow units.

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Production-induced pressure-depletion and stress anisotropy changes near hydraulically fractured wells: Implications for intra-well fracture interference and fracturing treatment efficacy

Cited by 9 publications

References 23 publications

Frac-hits and connections of multi-well hydrofracturing fracture network involving the variable factors: well spacing, perforation cluster spacing and injection rate

Frac-hits and connections of multi-well hydrofracturing fracture network involving the variable factors: well spacing, perforation cluster spacing and injection rate

Determining the petrophysical rock types utilizing the Fuzzy C-means Clustering technique and the concept of hydraulic flow units

Determining the petrophysical rock types utilizing the Fuzzy C-means Clustering technique and the concept of hydraulic flow units in the Asmari Formation, SW Iran

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